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Face-SketchFace Sketch Synthesis with Style Transfer using Pyramid Column Feature, WACV2018
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deep dreamDeepDream psychodelic image generator.
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GLStyleNetSemantic style transfer, code and data for "GLStyleNet: Exquisite Style Transfer Combining Global and Local Pyramid Features" (IET Computer Vision 2020)
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dreamsnapReal life through the eyes of an artist
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StyleGAN demoThe re-implementation of style-based generator idea
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STYLEROfficial repository of STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech, INTERSPEECH 2021
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AdaAttNOfficially unofficial PyTorch re-implementation of paper: AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer, ICCV 2021.
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transformer-drg-style-transferThis repository have scripts and Jupyter-notebooks to perform all the different steps involved in Transforming Delete, Retrieve, Generate Approach for Controlled Text Style Transfer
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ganslateSimple and extensible GAN image-to-image translation framework. Supports natural and medical images.
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barracuda-style-transferCompanion code for the Unity Style Transfer blog post, showcasing realtime style transfer using Barracuda.
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sRenderFacial Sketch Render, ICASSP 2021
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mix-stageOfficial Repository for the paper Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach published in ECCV 2020 (https://arxiv.org/abs/2007.12553)
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zero-shot-style-transferTensorFlow Implementation of Several Zero-Shot Image Style Transfer Methods
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TitleStylistSource code for our "TitleStylist" paper at ACL 2020
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VisualMLInteractive Visual Machine Learning Demos.
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StyleCLIPDrawStyled text-to-drawing synthesis method. Featured at IJCAI 2022 and the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design
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SANETArbitrary Style Transfer with Style-Attentional Networks
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Joint-Bilateral-LearningAn unofficial implementation of Joint Bilateral Learning for Real-time Universal photorealistic Style Transfer
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Keras-Style-TransferAn implementation of "A Neural Algorithm of Artistic Style" in Keras
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MeuralPaintTensorFlow implementation of CNN fast neural style transfer ⚡️ 🎨 🌌
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Music-Style-TransferSource code for "Transferring the Style of Homophonic Music Using Recurrent Neural Networks and Autoregressive Model"
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groove2grooveCode for "Groove2Groove: One-Shot Music Style Transfer with Supervision from Synthetic Data"
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prismaPrisma
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PSGAN-NCNNPSGAN running with ncnn⚡妆容迁移/仿妆⚡Imitation Makeup/Makeup Transfer⚡
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android tfliteGPU Accelerated TensorFlow Lite applications on Android NDK. Higher accuracy face detection, Age and gender estimation, Human pose estimation, Artistic style transfer
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DockerKerasWe provide GPU-enabled docker images including Keras, TensorFlow, CNTK, MXNET and Theano.
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gans-2.0Generative Adversarial Networks in TensorFlow 2.0
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Image recoloringImage Recoloring Based on Object Color Distributions (Eurographics 2019)
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NLP ToolkitLibrary of state-of-the-art models (PyTorch) for NLP tasks
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style swap tensorflowtensorflow code for Fast Patch-based Style Transfer of Arbitrary Style
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linguistic-style-transfer-pytorchImplementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch
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style-transfer-video-processorThis code extends the neural style transfer image processing technique to video by generating smooth transitions between several reference style images
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lewisOfficial code for LEWIS, from: "LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer", ACL-IJCNLP 2021 Findings by Machel Reid and Victor Zhong
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rudetoxifierCode and data of "Methods for Detoxification of Texts for the Russian Language" paper
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tf-adainTensorFlow implementation of the paper "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization" by Xun Huang and Serge Belongie
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CoMoGANCoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.
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CS231nPyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
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favorite-research-papersListing my favorite research papers 📝 from different fields as I read them.
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